Papers
Tue 10 Sep 2024
281 papers
- Language agents achieve superhuman synthesis of scientific knowledgeLLM agents and tool use → Web, search, and research agents
- Table-to-Text Generation with Pretrained Diffusion ModelsDiffusion models → Discrete and text diffusion
- KAG: Boosting LLMs in Professional Domains via Knowledge Augmented GenerationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- VisScience: An Extensive Benchmark for Evaluating K12 Educational Multi-modal Scientific ReasoningLLM reasoning → Multimodal reasoning +1
- MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language ModelLLM reasoning → Multimodal reasoning +1
- Semi-Supervised Reward Modeling via Iterative Self-TrainingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- LIME: Less Is More for MLLM EvaluationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- DetailCLIP: Detail-Oriented CLIP for Fine-Grained TasksMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Can Agents Spontaneously Form a Society? Introducing a Novel Architecture for Generative Multi-Agents to Elicit Social EmergenceLLM agents and tool use → Social simulation and multi-agent debate
- Hint-AD: Holistically Aligned Interpretability in End-to-End Autonomous DrivingEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
- Geometric-Averaged Preference Optimization for Soft Preference LabelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- DA-MoE: Towards Dynamic Expert Allocation for Mixture-of-Experts ModelsMixture-of-experts → MoE large language models
- SaRA: High-Efficient Diffusion Model Fine-tuning with Progressive Sparse Low-Rank AdaptationDiffusion models → Diffusion foundations and sampling
- DemoStart: Demonstration-led auto-curriculum applied to sim-to-real with multi-fingered robotsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Label-free Monitoring of Self-Supervised Learning ProgressMechanistic interpretability → SAE features and their applications
- GroUSE: A Benchmark to Evaluate Evaluators in Grounded Question AnsweringRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Semi-Supervised 3D Object Detection with Channel Augmentation using Transformation EquivarianceKnowledge distillation → Detection and dense prediction distillation
- Think-on-Process: Dynamic Process Generation for Collaborative Development of Multi-Agent SystemLLM agents and tool use → Software engineering coding agents
- MAPS: Energy-Reliability Tradeoff Management in Autonomous Vehicles Through LLMs Penetrated ScienceEnd-to-end autonomous driving → Large language models for driving
- Mitigating Hallucination in Visual-Language Models via Re-Balancing Contrastive DecodingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Superior Computer Chess with Model Predictive Control, Reinforcement Learning, and RolloutDeep reinforcement learning methods → RL for games and combinatorial optimization
- Enhancing Emotional Text-to-Speech Controllability with Natural Language Guidance through Contrastive Learning and Diffusion ModelsDiffusion models → Audio, speech and music
- Multimodal Large Language Model Driven Scenario Testing for Autonomous VehiclesMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Learning Generative Interactive Environments By Trained Agent ExplorationWorld models → Latent dynamics models and model-based RL
- Knowledge Distillation via Query Selection for Detection TransformerKnowledge distillation → Detection and dense prediction distillation
- Length Desensitization in Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment LocomotionDeep reinforcement learning methods → RL for robot locomotion and manipulation
- What happens to diffusion model likelihood when your model is conditional?Diffusion models → Diffusion foundations and sampling
- Double Successive Over-Relaxation Q-Learning with an Extension to Deep Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- DiffQRCoder: Diffusion-based Aesthetic QR Code Generation with Scanning Robustness Guided Iterative RefinementDiffusion models → Diffusion foundations and sampling
- MAGDA: Multi-agent guideline-driven diagnostic assistanceLLM agents and tool use → Medical and scientific domain agents
- Towards Agentic AI on Particle AcceleratorsLLM agents and tool use → Web, search, and research agents
- PPMamba: A Pyramid Pooling Local Auxiliary SSM-Based Model for Remote Sensing Image Semantic SegmentationState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- A Two-Stage Band-Split Mamba-2 Network For Music SeparationState-space sequence models (S4, Mamba) → Speech and audio SSMs
- DiPT: Enhancing LLM reasoning through diversified perspective-takingLLM reasoning → Reasoning benchmarks and evaluation
- STUN: Structured-Then-Unstructured Pruning for Scalable MoE PruningMixture-of-experts → MoE large language models
- Multi-Source Music Generation with Latent DiffusionDiffusion models → Audio, speech and music
- MyGo: Consistent and Controllable Multi-View Driving Video Generation with Camera ControlWorld models → World models for autonomous driving +1
- EDADepth: Enhanced Data Augmentation for Monocular Depth EstimationDiffusion models → 3D, point cloud and scene generation
- Larger Language Models Don't Care How You Think: Why Chain-of-Thought Prompting Fails in Subjective TasksLLM reasoning → Prompting and chain-of-thought reasoning
- VE: Modeling Multivariate Time Series Correlation with Variate EmbeddingMixture-of-experts → MoE for time series and graphs
- Revisiting Prompt Pretraining of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Revisiting Black-Box Model Ownership Verification through Information TheoryLLM safety and security → Watermarking generated content and models
- BERTScoreVisualizer: A Web Tool for Understanding Simplified Text Evaluation with BERTScore
- Cross Dataset Analysis and Network Architecture Repair for Autonomous Car Lane Detection
- Confident Teacher, Confident Student? A Novel User Study Design for Investigating the Didactic Potential of Explanations and their Impact on Uncertainty
- An Art-centric perspective on AI-based content moderation of nudity
- Probabilistic Spatiotemporal Modeling of Day-Ahead Wind Power Generation with Input-Warped Gaussian Processes
- DeepScore: A Comprehensive Approach to Measuring Quality in AI-Generated Clinical Documentation
- Damage detection in an uncertain nonlinear beam based on stochastic Volterra series: an experimental application
- How Redundant Is the Transformer Stack in Speech Representation Models?
- Gait Switching and Enhanced Stabilization of Walking Robots with Deep Learning-based Reachability: A Case Study on Two-link Walker
- A Large Dataset of Spontaneous Speech with the Accent Spoken in S~ao Paulo for Automatic Speech Recognition Evaluation
- Damage detection in an uncertain nonlinear beam based on stochastic Volterra series
- GLARE: Guided LexRank for Advanced Retrieval in Legal Analysis
- Neuromorphic spatiotemporal optical flow: Enabling ultrafast visual perception beyond human capabilities
- Video-Driven Graph Network-Based Simulators
- Effect of Clinical History on Predictive Model Performance for Renal Complications of Diabetes
- Knowing When to Ask -- Bridging Large Language Models and Data
- NLP4PBM: A Systematic Review on Process Extraction using Natural Language Processing with Rule-based, Machine and Deep Learning Methods
- Analysis of Socially Unacceptable Discourse with Zero-shot Learning
- Enhancing Kurdish Text-to-Speech with Native Corpus Training: A High-Quality WaveGlow Vocoder Approach
- RNR: Teaching Large Language Models to Follow Roles and Rules
- Enhancing Large Language Models with Domain-Specific Knowledge: The Case in Topological Materials
- Shadowed AHP for multi-criteria supplier selection
- D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks
- Bounds on the Generalization Error in Active Learning
- Interpretable Features for the Assessment of Neurodegenerative Diseases through Handwriting Analysis
- How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval
- Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation
- Interactive Counterfactual Exploration of Algorithmic Harms in Recommender Systems
- A Bayesian Framework for Active Tactile Object Recognition, Pose Estimation and Shape Transfer Learning
- Applied Federated Model Personalisation in the Industrial Domain: A Comparative Study
- Mazed and Confused: A Dataset of Cybersickness, Working Memory, Mental Load, Physical Load, and Attention During a Real Walking Task in VR
- Formative Study for AI-assisted Data Visualization
- Learning Representations for Independence Testing
- Enhanced Pix2Pix GAN for Visual Defect Removal in UAV-Captured Images
- QD-MAPPER: A Quality Diversity Framework to Automatically Evaluate Multi-Agent Path Finding Algorithms in Diverse Maps
- Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms
- Quasi-potential and drift decomposition in stochastic systems by sparse identification
- A Dataset for Evaluating LLM-based Evaluation Functions for Research Question Extraction Task
- Joint trajectory and network inference via reference fitting
- The Competition Complexity of Prophet Inequalities with Correlations
- Towards Understanding Human Emotional Fluctuations with Sparse Check-In Data
- NSP: A Neuro-Symbolic Natural Language Navigational Planner
- What is the Role of Small Models in the LLM Era: A Survey
- AssistTaxi: A Comprehensive Dataset for Taxiway Analysis and Autonomous Operations
- ExIQA: Explainable Image Quality Assessment Using Distortion Attributes
- Shadow Removal Refinement via Material-Consistent Shadow Edges
- Stratospheric aerosol source inversion: Noise, variability, and uncertainty quantification
- Face Mask Removal with Region-attentive Face Inpainting
- Few-Shot Learning: Expanding ID Cards Presentation Attack Detection to Unknown ID Countries
- Uncertainty Quantification in Seismic Inversion Through Integrated Importance Sampling and Ensemble Methods
- Atom dimension adaptation for infinite set dictionary learning
- Noisy Early Stopping for Noisy Labels
- Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point Clouds
- Sam2Rad: A Segmentation Model for Medical Images with Learnable Prompts
- PingPong: A Benchmark for Role-Playing Language Models with User Emulation and Multi-Model Evaluation
- Bifurcation Identification for Ultrasound-driven Robotic Cannulation
All 281
- Object Modeling from Underwater Forward-Scan Sonar Imagery with Sea-Surface Multipath
- Personalized Federated Learning Techniques: Empirical Analysis
- Decomposition of surprisal: Unified computational model of ERP components in language processing
- Adaptive Meta-Domain Transfer Learning (AMDTL): A Novel Approach for Knowledge Transfer in AI
- Adversarial Attacks to Multi-Modal Models
- Human Motion Synthesis_ A Diffusion Approach for Motion Stitching and In-Betweening
- Translating Step-by-Step: Decomposing the Translation Process for Improved Translation Quality of Long-Form Texts
- gsplat: An Open-Source Library for Gaussian Splatting
- Modeling Image Tone Dichotomy with the Power Function
- Generative Hierarchical Materials Search
- Beyond designer's knowledge: Generating materials design hypotheses via large language models
- Scaling Law Hypothesis for Multimodal Model
- A tutorial on automatic differentiation with complex numbers
- The Weak Form Is Stronger Than You Think
- EasyST: A Simple Framework for Spatio-Temporal Prediction
- Decentralized Neural Networks for Robust and Scalable Eigenvalue Computation
- Personalized Knowledge Tracing through Student Representation Reconstruction and Class Imbalance Mitigation
- ProteinBench: A Holistic Evaluation of Protein Foundation Models
- Generative AI for Requirements Engineering: A Systematic Literature Review
- Data-efficient and Interpretable Inverse Materials Design using a Disentangled Variational Autoencoder
- GeoCalib: Learning Single-image Calibration with Geometric Optimization
- LEIA: Latent View-invariant Embeddings for Implicit 3D Articulation
- A study on Deep Convolutional Neural Networks, Transfer Learning and Ensemble Model for Breast Cancer Detection
- DANCE: Deep Learning-Assisted Analysis of Protein Sequences Using Chaos Enhanced Kaleidoscopic Images
- HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs
- Benchmarking Sub-Genre Classification For Mainstage Dance Music
- A comprehensive study on Blood Cancer detection and classification using Convolutional Neural Network
- A study on deep feature extraction to detect and classify Acute Lymphoblastic Leukemia (ALL)
- GigaGS: Scaling up Planar-Based 3D Gaussians for Large Scene Surface Reconstruction
- Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences
- Constructing an Interpretable Deep Denoiser by Unrolling Graph Laplacian Regularizer
- Liability and Insurance for Catastrophic Losses: the Nuclear Power Precedent and Lessons for AI
- Insuring Uninsurable Risks from AI: Government as Insurer of Last Resort
- A Semantic Segmentation Approach on Sweet Orange Leaf Diseases Detection Utilizing YOLO
- LLaMA-Omni: Seamless Speech Interaction with Large Language Models
- Data Collection-free Masked Video Modeling
- World-Grounded Human Motion Recovery via Gravity-View Coordinates
- Sortformer: A Novel Approach for Permutation-Resolved Speaker Supervision in Speech-to-Text Systems
- Estimation and Inference for Causal Functions with Multiway Clustered Data
- KANtrol: A Physics-Informed Kolmogorov-Arnold Network Framework for Solving Multi-Dimensional and Fractional Optimal Control Problems
- Image Vectorization with Depth: convexified shape layers with depth ordering
- EyeCLIP: A visual-language foundation model for multi-modal ophthalmic image analysis
- TeXBLEU: Automatic Metric for Evaluate LaTeX Format
- MoWE-Audio: Multitask AudioLLMs with Mixture of Weak Encoders
- Towards Localizing Structural Elements: Merging Geometrical Detection with Semantic Verification in RGB-D Data
- A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio
- Exploring Italian sentence embeddings properties through multi-tasking
- MVGaussian: High-Fidelity text-to-3D Content Generation with Multi-View Guidance and Surface Densification
- Hierarchical Multi-Label Classification with Missing Information for Benthic Habitat Imagery
- When to Extract ReID Features: A Selective Approach for Improved Multiple Object Tracking
- One-Shot Imitation under Mismatched Execution
- Improving the Precision of CNNs for Magnetic Resonance Spectral Modeling
- Simulation-based Scenario Generation for Robust Hybrid AI for Autonomy
- An Ontology-based Approach Towards Traceable Behavior Specifications in Automated Driving
- Interactive 3D Segmentation for Primary Gross Tumor Volume in Oropharyngeal Cancer
- A Practical Gated Recurrent Transformer Network Incorporating Multiple Fusions for Video Denoising
- LaMsS: When Large Language Models Meet Self-Skepticism
- Advancing Causal Inference: A Nonparametric Approach to ATE and CATE Estimation with Continuous Treatments
- Lightweight single-image super-resolution network based on dual paths
- Seg-HGNN: Unsupervised and Light-Weight Image Segmentation with Hyperbolic Graph Neural Networks
- Developing the Temporal Graph Convolutional Neural Network Model to Predict Hip Replacement using Electronic Health Records
- Transtreaming: Adaptive Delay-aware Transformer for Real-time Streaming Perception
- Quantifying and Enabling the Interpretability of CLIP-like Models
- Exploring syntactic information in sentence embeddings through multilingual subject-verb agreement
- Indirect Dynamic Negotiation in the Nash Demand Game
- ChatGPT's Potential in Cryptography Misuse Detection: A Comparative Analysis with Static Analysis Tools
- A Primer on Variational Inference for Physics-Informed Deep Generative Modelling
- Learn2Aggregate: Supervised Generation of Chv'atal-Gomory Cuts Using Graph Neural Networks
- Constructive Universal Approximation and Finite Sample Memorization by Narrow Deep ReLU Networks
- Modelling Global Trade with Optimal Transport
- From LIMA to DeepLIMA: following a new path of interoperability
- Dynamic Decoupling of Placid Terminal Attractor-based Gradient Descent Algorithm
- Mapping News Narratives Using LLMs and Narrative-Structured Text Embeddings
- PoseEmbroider: Towards a 3D, Visual, Semantic-aware Human Pose Representation
- Functionally Constrained Algorithm Solves Convex Simple Bilevel Problems
- MENSA: A Multi-Event Network for Survival Analysis with Trajectory-based Likelihood Estimation
- Deep Learning for Koopman Operator Estimation in Idealized Atmospheric Dynamics
- In Flight Boresight Rectification for Lightweight Airborne Pushbroom Imaging Spectrometry
- Medal Matters: Probing LLMs' Failure Cases Through Olympic Rankings
- Limit Order Book Simulation and Trade Evaluation with K-Nearest-Neighbor Resampling
- Sines, Transient, Noise Neural Modeling of Piano Notes
- Aligning Machine and Human Visual Representations across Abstraction Levels
- Neural Laplacian Operator for 3D Point Clouds
- Learning local and semi-local density functionals from exact exchange-correlation potentials and energies
- Multi-scale Cycle Tracking in Dynamic Planar Graphs
- Weakly-supervised Camera Localization by Ground-to-satellite Image Registration
- An Effective Context-Balanced Adaptation Approach for Long-Tailed Speech Recognition
- A Machine Learning Based Approach for Statistical Analysis of Detonation Cells from Soot Foils
- Continual Domain Incremental Learning for Privacy-aware Digital Pathology
- Ransomware Detection Using Machine Learning in the Linux Kernel
- HexaCoder: Secure Code Generation via Oracle-Guided Synthetic Training Data
- Prompt2Fashion: An automatically generated fashion dataset
- Extending Explainable Ensemble Trees (E2Tree) to regression contexts
- A Short Information-Theoretic Analysis of Linear Auto-Regressive Learning
- Fine-tuning and Prompt Engineering with Cognitive Knowledge Graphs for Scholarly Knowledge Organization
- Spectral Map for Slow Collective Variables, Markovian Dynamics, and Transition State Ensembles
- GeMuCo: Generalized Multisensory Correlational Model for Body Schema Learning
- A Likelihood Ratio-Based Approach to Segmenting Unknown Objects
- Unrevealed Threats: A Comprehensive Study of the Adversarial Robustness of Underwater Image Enhancement Models
- Exploring the Integration of Large Language Models in Industrial Test Maintenance Processes
- Sources of Uncertainty in 3D Scene Reconstruction
- Symmetry Breaking in Neural Network Optimization: Insights from Input Dimension Expansion
- Robust semi-parametric signal detection in particle physics with classifiers decorrelated via optimal transport
- Coarse-Grained Sense Inventories Based on Semantic Matching between English Dictionaries
- AMNS: Attention-Weighted Selective Mask and Noise Label Suppression for Text-to-Image Person Retrieval
- A Cross-Font Image Retrieval Network for Recognizing Undeciphered Oracle Bone Inscriptions
- MoRE: A Mixture of Reflectors Framework for Large Language Model-Based Sequential Recommendation
- SpeechTaxi: On Multilingual Semantic Speech Classification
- Distilling Generative-Discriminative Representations for Very Low-Resolution Face Recognition
- Texture-AD: An Anomaly Detection Dataset and Benchmark for Real Algorithm Development
- Connecting Concept Convexity and Human-Machine Alignment in Deep Neural Networks
- Improving Conditional Level Generation using Automated Validation in Match-3 Games
- VoiceWukong: Benchmarking Deepfake Voice Detection
- Compute-Update Federated Learning: A Lattice Coding Approach Over-the-Air
- Retrieval Or Holistic Understanding? Dolce: Differentiate Our Long Context Evaluation Tasks
- Multi-Weather Image Restoration via Histogram-Based Transformer Feature Enhancement
- Modified Meta-Thompson Sampling for Linear Bandits and Its Bayes Regret Analysis
- Extracting Paragraphs from LLM Token Activations
- SDF-Net: A Hybrid Detection Network for Mediastinal Lymph Node Detection on Contrast CT Images
- LAMP: Learnable Meta-Path Guided Adversarial Contrastive Learning for Heterogeneous Graphs
- G3PT: Unleash the power of Autoregressive Modeling in 3D Generation via Cross-scale Querying Transformer
- Rate-Constrained Quantization for Communication-Efficient Federated Learning
- PharmacoMatch: Efficient 3D Pharmacophore Screening via Neural Subgraph Matching
- Seam Carving as Feature Pooling in CNN
- An End-to-End Approach for Chord-Conditioned Song Generation
- High-Performance Few-Shot Segmentation with Foundation Models: An Empirical Study
- Geometry of the Space of Partitioned Networks: A Unified Theoretical and Computational Framework
- An Attribute-Enriched Dataset and Auto-Annotated Pipeline for Open Detection
- Enhancing Long Video Understanding via Hierarchical Event-Based Memory
- User Preferences for Large Language Model versus Template-Based Explanations of Movie Recommendations: A Pilot Study
- EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification
- Automate Strategy Finding with LLM in Quant Investment
- Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly Detection
- ReAugment: Model Zoo-Guided RL for Few-Shot Time Series Augmentation and Forecasting
- Anonymity Unveiled: A Practical Framework for Auditing Data Use in Deep Learning Models
- Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models
- A new paradigm for global sensitivity analysis
- Towards Robust Uncertainty-Aware Incomplete Multi-View Classification
- Mahalanobis k-NN: A Statistical Lens for Robust Point-Cloud Registrations
- Speak & Spell: LLM-Driven Controllable Phonetic Error Augmentation for Robust Dialogue State Tracking
- ALSS-YOLO: An Adaptive Lightweight Channel Split and Shuffling Network for TIR Wildlife Detection in UAV Imagery
- Stock Price Responses to Firm-Level News in Supply Chain Networks
- Inference is All You Need: Self Example Retriever for Cross-domain Dialogue State Tracking with ChatGPT
- Test-Time Certifiable Self-Supervision to Bridge the Sim2Real Gap in Event-Based Satellite Pose Estimation
- Applications of machine learning to predict seasonal precipitation for East Africa
- Recurrent Neural Networks for Still Images
- A Latent Implicit 3D Shape Model for Multiple Levels of Detail
- NLP-Powered Repository and Search Engine for Academic Papers: A Case Study on Cyber Risk Literature with CyLit
- MIP-GAF: A MLLM-annotated Benchmark for Most Important Person Localization and Group Context Understanding
- Enhancing Temporal Understanding in Audio Question Answering for Large Audio Language Models
- Advancing Topic Segmentation of Broadcasted Speech with Multilingual Semantic Embeddings
- CerviXpert: A Multi-Structural Convolutional Neural Network for Predicting Cervix Type and Cervical Cell Abnormalities
- Denoising: A Powerful Building-Block for Imaging, Inverse Problems, and Machine Learning
- DACAT: Dual-stream Adaptive Clip-aware Time Modeling for Robust Online Surgical Phase Recognition
- SubRegWeigh: Effective and Efficient Annotation Weighing with Subword Regularization
- Towards Generalizable Scene Change Detection
- INTRA: Interaction Relationship-aware Weakly Supervised Affordance Grounding
- Adaptive Transformer Modelling of Density Function for Nonparametric Survival Analysis
- AgileIR: Memory-Efficient Group Shifted Windows Attention for Agile Image Restoration
- SHAPE-IT: Exploring Text-to-Shape-Display for Generative Shape-Changing Behaviors with LLMs
- RealisDance: Equip controllable character animation with realistic hands
- Deep kernel representations of latent space features for low-dose PET-MR imaging robust to variable dose reduction
- UdeerLID+: Integrating LiDAR, Image, and Relative Depth with Semi-Supervised
- MTDA-HSED: Mutual-Assistance Tuning and Dual-Branch Aggregating for Heterogeneous Sound Event Detection
- NOVI : Chatbot System for University Novice with BERT and LLMs
- Bottleneck-based Encoder-decoder ARchitecture (BEAR) for Learning Unbiased Consumer-to-Consumer Image Representations
- Can Large Language Models Unlock Novel Scientific Research Ideas?
- SQLucid: Grounding Natural Language Database Queries with Interactive Explanations
- Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance
- Deep Learning and Large Language Models for Audio and Text Analysis in Predicting Suicidal Acts in Chinese Psychological Support Hotlines
- MCDGLN: Masked Connection-based Dynamic Graph Learning Network for Autism Spectrum Disorder
- Causal Analysis of Shapley Values: Conditional vs. Marginal
- Static for Dynamic: Towards a Deeper Understanding of Dynamic Facial Expressions Using Static Expression Data
- Multiclass Arrhythmia Classification using Smartwatch Photoplethysmography Signals Collected in Real-life Settings
- Configuration Interaction Guided Sampling with Interpretable Restricted Boltzmann Machine
- Variational Search Distributions
- Draw an Audio: Leveraging Multi-Instruction for Video-to-Audio Synthesis
- Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and Review
- DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement
- Contrastive Federated Learning with Tabular Data Silos
- Case Study: Leveraging GenAI to Build AI-based Surrogates and Regressors for Modeling Radio Frequency Heating in Fusion Energy Science